Document Detail


Recognizing molecules with drug-like properties.
MedLine Citation:
PMID:  10419858     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A variety of successful approaches to the problem of recognizing 'drug-like' molecules have been employed. These range from simple counting schemes such as the Lipinski 'rule of five' to the analysis of the multidimensional 'chemistry space' occupied by drugs, to neural network learning systems. With this variety of tools, it now appears possible to design libraries that are enriched in compounds which have desirable or 'drug-like' properties. Verifying the robustness of these methods, and extending them, will form the basis of research in this field during the next few years.
Authors:
W P Walters; Ajay; M A Murcko
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Current opinion in chemical biology     Volume:  3     ISSN:  1367-5931     ISO Abbreviation:  Curr Opin Chem Biol     Publication Date:  1999 Aug 
Date Detail:
Created Date:  1999-09-16     Completed Date:  1999-09-16     Revised Date:  2009-08-25    
Medline Journal Info:
Nlm Unique ID:  9811312     Medline TA:  Curr Opin Chem Biol     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  384-7     Citation Subset:  IM    
Affiliation:
Vertex Pharmaceuticals, 130 Waverly Street, Cambridge, MA 02139, USA.
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MeSH Terms
Descriptor/Qualifier:
Administration, Oral
Biological Availability
Drug Design*
Neural Networks (Computer)

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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